
Senior Data Validation and ETL Specialist
7 days ago
Key Responsibilities:
- Data Validation and ETL Expertise
- Create complex SQL queries to validate data pipelines, transformations, and reporting accuracy.
- Perform root cause analysis of data discrepancies and provide insights into data quality issues.
- Develop automated SQL scripts to streamline data validation and reconciliation processes.
- ETL Pipeline Testing
- Validate ETL processes by designing comprehensive test strategies to ensure data accuracy and completeness.
- Test and verify ETL pipelines from various data sources (structured and unstructured) into data warehouses, ensuring data conforms to business rules and logic.
- Implement automated ETL testing frameworks and continuously improve them to optimize the data validation process.
- Data Reconciliation Strategies
- Develop, implement, and automate test scripts to validate data integrity between source and target systems.
- Identify and resolve data inconsistencies, mismatches, and errors in large datasets.
- Design and execute reconciliation processes to ensure accurate data migration and transformation.
Nice to Have Skills:
- Hive Database Knowledge
- Python Scripting Experience
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